To provide support for the analysis of biochemical pathways a database system based on a model that represents the characteristics of the domain is needed. This domain has proven to be difficult to model by using conventional data modelling techniques. We are building an ontology for biochemical pathways, which acts as the basis for the generation of a database on the same domain, allowing the definition of complex queries and complex data representation. The ontology is used as a modelling and analysis tool which allows the expression of complex semantics based on a first-order logic representation language. The induction capabilities of the system can help the scientist in formulating and testing research hypotheses that are difficult to express with the standard relational database mechanisms. An ontology representing the shared formalisation of the knowledge in a scientific domain can also be used as data integration tool clarifying the mapping of concepts to the developers of different databases. In this paper we describe the general structure of our system, concentrating on the ontology-based database as the key component of the system.
SEEK ID: https://publications.h-its.org/publications/25
PubMed ID: 12066842
Research Groups: Scientific Databases and Visualisation
Publication type: Journal
Journal: In Silico Biol
Citation: In Silico Biol. 2002;2(2):75-86.
Date Published: 18th Jun 2002
Registered Mode: Not specified
Views: 6403
Created: 8th Nov 2017 at 10:47
Last updated: 5th Mar 2024 at 21:23
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